Politecnico di Torino                                                           Dip. Automatica e Informatica             ...
Goals       Enable sensor networks to publish their data in a        standard way       Enable distributed applications ...
Outline       Context and Motivation       Proposed Architecture       Proposed solutions       Experimental results ...
Context               Smart Sensing and Measuring EnvironmentsSmart Homes                  Sensor and                     ...
Context                  Smart Sensing and Measuring Environments                                Smart Appliances         ...
Context                 Smart Sensing and Measuring Environments                             Smart Appliances             ...
Motivation                                                    Applications need to    Application             Application...
Approach                                                Applications need to    Adopt Semantic Web                       ...
General LO(D)D Architecture           Smart        Environment                                      Static                ...
General LO(D)D Architecture            Smart         Environment                                                 Static   ...
General LO(D)D Architecture            Smart                                                                 subscribes   ...
Proposed solutions Producer              Open source libraries and API to enableApplication      Consumer      Applicatio...
Publisher Information Document (PID)    According to lightweight «Publisher» ontology    Contains declarations of all ch...
Event data fragments    Indivudual data points encoded in RDF    Self-consistent information (e.g. Unit of measure)    ...
Cloud based Transport mechanism    Provides the updates to subscribers whenever publishers     update data        New RD...
Publisher and Consumer APIs    Publisher Library        Creates PID file an offers it on http        Creates channels o...
Preliminary Experiment                 Building Infrastructure                 Politecnico di Torino                      ...
Preliminary Experiment                 Building Infrastructure                 Politecnico di Torino                      ...
Preliminary Experiment                 Building Infrastructure                 Politecnico di Torino                      ...
Conclusions    Open applications with     open data    Exploiting existing     standards (RDF and     pub/sub)    Exten...
21   ANT’2012, Niagara Falls, Canada   LO(D)D
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Publishing LO(D)D: Linked Open (Dynamic) Data for Smart Sensing and Measuring Environments

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Presentation given at the 3rd International Conference on Ambient Systems, Networks and Technologies
August 27-29, 2012, Niagara Falls, Ontario, Canada.
The paper is available on the PORTO open access repository: http://porto.polito.it/2496718/

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Publishing LO(D)D: Linked Open (Dynamic) Data for Smart Sensing and Measuring Environments

  1. 1. Politecnico di Torino Dip. Automatica e Informatica Torino, ItalyThe 3rd International Conference onAmbient Systems, Networks and TechnologiesAugust 27-29, 2012, Niagara Falls, Ontario, Canada http://elite.polito.it Publishing LO(D)D: Linked Open (Dynamic) Data for Smart sensing and Measuring environments Fulvio Corno, Faisal Razzak
  2. 2. Goals Enable sensor networks to publish their data in a standard way Enable distributed applications to consume sensor data from different sources Enable data publication, consumption, computation, re- publication, etc with minimal effort Extend the Linked Open Data cloud with time-varying (sensor) data streams 2 ANT’2012, Niagara Falls, Canada LO(D)D
  3. 3. Outline Context and Motivation Proposed Architecture Proposed solutions Experimental results Conclusions 3 ANT’2012, Niagara Falls, Canada LO(D)D
  4. 4. Context Smart Sensing and Measuring EnvironmentsSmart Homes Sensor and Smart Factories Smart Grid Actuator Networks Environment monitoring Social mobile applications Smart Appliances Affordable and efficient sensors4 ANT’2012, Niagara Falls, Canada LO(D)D
  5. 5. Context Smart Sensing and Measuring Environments Smart Appliances acceleration acceleration compass compass GPS air pressure proximity temperature microphone energy (active, light camera reactive, reverse, BT Scan kVAr, ...) Affordable and efficient sensors5 ANT’2012, Niagara Falls, Canada LO(D)D
  6. 6. Context Smart Sensing and Measuring Environments Smart Appliances Affordable and efficient sensors Motion RFID Smoke Pressure Gyroscope Proximity 2D codes6 ANT’2012, Niagara Falls, Canada LO(D)D
  7. 7. Motivation  Applications need to Application Application access information from multiple environments  Standard way to publishEnviron Environ Environ and consume information ment ment ment  About accessible environmentsApplian Applian Applian  About available applicances, ces ces ces sensors and their characteristics  About the actual datasensors sensors sensors measured by sensors7 ANT’2012, Niagara Falls, Canada LO(D)D
  8. 8. Approach  Applications need to Adopt Semantic Web access information from «Linked Open Data (LOD)» approach multiple environments  Standard way to publish and consume information Static information: Can be encoded in RDF  About accessible according to a public environments Ontology  About available applicances, sensors and their Dynamic information: characteristics New approach to represent  About the actual data streams of RDF events measured by sensors8 ANT’2012, Niagara Falls, Canada LO(D)D
  9. 9. General LO(D)D Architecture Smart Environment Static Producer publishes information Application about sensorE streams G monitors F 9 ANT’2012, Niagara Falls, Canada LO(D)D
  10. 10. General LO(D)D Architecture Smart Environment Static Producer publishes information E Application about sensorE F G streams E G monitors describes F E Sensor G E data F channel G Sensor updates F data channel G Sensor data channel 10 ANT’2012, Niagara Falls, Canada LO(D)D
  11. 11. General LO(D)D Architecture Smart subscribes Environment Static Producer publishes information E Application about sensor ConsumerE F Application G streams E E G monitors describes F Consumer E E E Sensor Application G E E data F channel G Sensor G Consumer updates F Application data F channel receives G G Sensor data channel 11 ANT’2012, Niagara Falls, Canada LO(D)D
  12. 12. Proposed solutions Producer  Open source libraries and API to enableApplication Consumer Application application to interact with LO(D)D data  RDF document with meta-data (PID) Static information  Publisher information about sensor  List of channels, their source data, their streams datatypes, and subscription URI/key E  RDF «fragments» representing each event F G  Contains: event#, sensor id, timestamp, value, E unit of measure Sensor  Uses publish-subscribe pattern as data transport mechanism for distributing RDF channel fragments12 ANT’2012, Niagara Falls, Canada LO(D)D
  13. 13. Publisher Information Document (PID) According to lightweight «Publisher» ontology Contains declarations of all channels handled by this publisher – all needed static information Gives information to subscribe to channels Created by <RDF:Description RDF:about="&Publisher;energymtr"> publisher API <publisher:Location RDF:datatype="&xsd;string"> Torino, Italia</publisher:Location> Published over <publisher:subscribekey>sub-xxxxxx-42904d46dEEEEE http </publisher:subscribekey> <publisher:channelName>Energy Meters </publisher:channelName> <RDF:type RDF:resource="&Publisher;Channel"/> </RDF:Description> 13 ANT’2012, Niagara Falls, Canada LO(D)D
  14. 14. Event data fragments Indivudual data points encoded in RDF Self-consistent information (e.g. Unit of measure) Standard syntax and semantics Application-independent representation Compact <rdf:Description RDF:about = "&publisher;emergymtrChan1"> <publisher:MeterNumber RDF:datatype="&xsd;int"> encodings 231 </publisher:MeterNumber> available <publisher:Unit RDF:datatype="&xsd;string" > http://purl.oclc.org/NET/muo/ucum/unit/power-level/ bel-kilowatt</publisher:Unit> <publisher:hasTimeStamp RDF:datatype="&xsd;dateTime"> 2012-02-02T13:06:41.056Z </publisher:hasTimeStamp> <publisher:hasCurrentValue RDF:datatype ="&xsd;double"> 0.3 </publisher:hasCurrentValue> 14 ANT’2012, Niagara Falls, Canada </RDF:Description> LO(D)D
  15. 15. Cloud based Transport mechanism Provides the updates to subscribers whenever publishers update data  New RDF fragments are sent to the cloud service Maintains list of subscribers Handles logic to provide transport from Publisher to many Subscriber in real time It makes the Publisher a “light-weight component”  Publisher is independent from the number of connected subscribers ...and others pubsubhubbub 15 ANT’2012, Niagara Falls, Canada LO(D)D
  16. 16. Publisher and Consumer APIs Publisher Library  Creates PID file an offers it on http  Creates channels onto cloud service  Sends updates to channel, encoding it in RDF Consumer Library  Parses PID file and provides channel information  Subscribes to one or more channels  Notifies application whenr new data is available, decoding it from RDF Same application may be producer and consumer at the same time Applications need not manage RDF explicitly 16 ANT’2012, Niagara Falls, Canada LO(D)D
  17. 17. Preliminary Experiment Building Infrastructure Politecnico di Torino poliEnergy PID Publishes P • 126 Electrical Meters. • Take readingevery 15 minutes17 ANT’2012, Niagara Falls, Canada LO(D)D
  18. 18. Preliminary Experiment Building Infrastructure Politecnico di Torino poliEnergy PID Publishes C P P • 126 Electrical Meters. poliEnergy Aggregator • Take reading PIDevery 15 minutes • Aggregates reading into 3 ranges. • Publishes using 3 channels18 ANT’2012, Niagara Falls, Canada LO(D)D
  19. 19. Preliminary Experiment Building Infrastructure Politecnico di Torino poliEnergy PID Publishes C P P • 126 Electrical Meters. poliEnergy Aggregator • Take reading PIDevery 15 minutes • Aggregates reading into 3 ranges. • Publishes using 3 C channels19 ANT’2012, Niagara Falls, Canada LO(D)D
  20. 20. Conclusions Open applications with open data Exploiting existing standards (RDF and pub/sub) Extensible to different type of sensor data Highly scalable http://elite.polito.it fulvio.corno@polito.it faisal.razzak@polito.it 20 ANT’2012, Niagara Falls, Canada LO(D)D
  21. 21. 21 ANT’2012, Niagara Falls, Canada LO(D)D

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